Goal: To develop a model for predicting life expectancy in Baltimore down to single block resolution with estimates of uncertainty. You may need to develop an approach for “downsampling” since the outcome data you’ll be able to find is likely aggregated at the neighborhood level
We have data from Baltimore city website, Baltimore Neighborhood Indicators Alliance BNIA-JF, and from the Maryland department of planning. The data consists of information about life expectancy estimates for each neighbourhood, along with crime, economic development and education informmation, all over a 5 year period (2010-2014). I also have street level, and thus block level data. In addition I have information which links streets to blocks and then to neighbourhood.
Since the goal of this analysis is to predict life expectancy at the street block level and since the block information conatined in my dataset does not Since some of the data files have information on neighbourhood blocks, I plotted the Neighbourhood information as defined or delineated by the block level data gotten from the Baltimore city website and then overlayed the neighbourhood data gotten from the Maryland department of planning. Futhermore, using information from the Baltimore gisdata website I was able to obtain what “block” was actually defined as. All this points to the possiblity of using blocks from our dataset as street blocks.